We performed a comparison between BigPanda and Elastic Observability based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"A user-friendly solution."
"The solution is user-friendly and has good performance and certification."
"The best of a bad lot was the error message deduping."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"It's easy to deploy, and it's very flexible."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The solution allows us to dig deep into data."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The solution has been stable in our usage."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"Lacks sufficient dashboard features."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"We had to use a partner for the deployment."
"The cost of this product is too high compared to New Relic."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"BigPanda attempts a little of everything and fails at most."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"The price is the only issue in the solution. It can be made better and cheaper."
"There could be more low-code features included in the product."
"There is room for improvement regarding its APM capabilities."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"Elastic Observability needs to have better standardization, logging, and schema."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
BigPanda is ranked 43rd in IT Infrastructure Monitoring with 12 reviews while Elastic Observability is ranked 10th in IT Infrastructure Monitoring with 22 reviews. BigPanda is rated 7.2, while Elastic Observability is rated 7.8. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". On the other hand, the top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". BigPanda is most compared with ServiceNow, Moogsoft, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and PagerDuty Operations Cloud, whereas Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics. See our BigPanda vs. Elastic Observability report.
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We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.